Results 11 to 20 of about 3,427,733 (300)
e-LION: Data integration semantic model to enhance predictive analytics in e-Learning
In the last years, Learning Management systems (LMSs) are acquiring great importance in online education, since they offer flexible integration platforms for organising a vast amount of learning resources, as well as for establishing effective ...
Manuel Paneque +2 more
semanticscholar +1 more source
The development of Semantic Web (RDF) brings new requirements for data analytics tools and methods, going beyond querying to semantics-rich analytics through warehouse-style tools. In this work, we fully redesign, from the bottom up, core data analytics concepts and tools in the context of RDF data, leading to the first complete formal framework for ...
Colazzo, Dario +3 more
openaire +2 more sources
WINFRA: A Web-Based Platform for Semantic Data Retrieval and Data Analytics
Given the huge amount of heterogeneous data stored in different locations, it needs to be federated and semantically interconnected for further use. This paper introduces WINFRA, a comprehensive open-access platform for semantic web data and advanced ...
Addi Ait-Mlouk, Xuan-Son Vu, Lili Jiang
doaj +1 more source
Students’ competencies discovery and assessment using learning analytics and semantic web
Traditional content-based assessment systems, which depend on the score as a key criterion for students’ evaluation, have proven to have many drawbacks, especially with the development of learning methods in recent years.
K. Halimi, H. Seridi-Bouchelaghem
semanticscholar +1 more source
Semantic Property Graph for Scalable Knowledge Graph Analytics [PDF]
Graphs are a natural and fundamental representation to describe entities, relationships, activities, and evolution of complex systems. Resource Description Framework (RDF) and Labeled Property Graph (LPG) are two of the most used graph-based data models ...
Sumit Purohit, Nhuy Van, George Chin
semanticscholar +1 more source
The Austrian Semantic EO Data Cube Infrastructure
Big optical Earth observation (EO) data analytics usually start from numerical, sub-symbolic reflectance values that lack inherent semantic information (meaning) and require interpretation.
Martin Sudmanns +4 more
doaj +1 more source
Steelmaking Predictive Analytics Based on Random Forest and Semantic Reasoning
This paper proposes a human-in-the-loop framework that integrates machine learning models with semantic technologies to aid decision making in the domain of steelmaking.
Sadeer Beden +3 more
doaj +1 more source
In this introduction, we first summarize the Fourth International Workshop on Semantics-Powered Data Mining and Analytics (SEPDA 2019) held on October 26, 2019 in conjunction with the 18th International Semantic Web Conference (ISWC 2019) in Auckland ...
Zhe He, Cui Tao, Jiang Bian, Rui Zhang
doaj +1 more source
Semantic Web Applications: Current Trends in Datasets, Tools and Technologies’ Development for Linked Open Data [PDF]
We report a survey on the actual state of the art about semantic web and its applications. Semantic Web plays a major role in integrating data, especially open data, publicly available on the Internet.
Sabina-Cristiana NECULA
doaj +1 more source
Semantics for Analytic Containment [PDF]
The notion of analytic containment introduced by R. B. Angell provides a kind of relevant implication whose main feature is that a disjunction is not always implied by its component. The extension of analytic containment by this usually admitted axiom on disjunction gives, in fact, rise to the relevant implication of Anderson and Belnap, which is ...
openaire +2 more sources

